VMMF
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Why is circular convolution used in DSP? Why not linear convolution?
4 votes

Answering to your questions: Why are we using circular convolution in DSP? In DSP we normally deal with finite length discrete sequences (even if the signal under study is infinite we can only ...

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could anybody explains me why IIR filters do not have linear phase?
4 votes

Clements and Pease have shown that causal infinite-duration impulse responses can also have Fourier transforms with generalized linear phase. The corresponding system functions, however, are not ...

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Design a filter which passes all frequencies except $\omega=\pm\frac{\pi}{2}$ and plot its pole-zero diagram
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3 votes

The kind of filter you are looking for is a notch filter. Using filter design toolbox in Matlab you can get it as I'm showing you in the following picture: This has to be done in z-plane so there ...

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Distinguishing FIR and IIR from difference equation
2 votes

Welcome to DSP! First of all I would recommend reading chapter 2, specially 2.2 to 2.5 of Discrete Time Signal Processing 3rd edition by Oppenheim and Schafer. Then 3.2 and 5.2 of that very same book. ...

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Precursor ISI - causality violation?
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2 votes

Every symbol in the channel will be affected by ISI from previous symbols and next symbols. To understand this you must notice that there's a propagation delay from transmitter(TX) to receiver(RX). ...

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Physical Meaning of Negative Group Delay for causal LTI systems
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2 votes

Since nobody has answered my question yet. I will try to partially answer it myself. However, even though I accept it as the final answer I can revoke this if another user elaborates a much better ...

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What is the filter with the less phase shift?
1 votes

Even though @Ben has already given a wonderful answer I would like to add that there's a technique called zero-phase filtering which allows you to have no phase delay at all. However, as I don't ...

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Relationship between the carrier frequency and the propagation distance?
1 votes

Normally the higher the carrier frequency the more it will be absorbed by the environment (for instance air, water) and the smaller the propagation distance. I think this happens because the smaller ...

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Recommended literature to learn essential aspects of signals and its propagation
1 votes

It seems that you are looking for books to learn about multiple topics. Skimming through your question I think these are the topics: Aspects of signals (signal mean, its power,amplitude,frequency,etc ...

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How to filter a signal sampled at different frequencies
1 votes

If I were you I would define my sampling period as the period present in the interval with the highest sampling frequency. Then I would try to interpolate the sections of the signal that were ...

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What are the units of a .wav file?
1 votes

You must consider the microphone sensitivity while calibrating the recording system if you want to have an idea of what your digital samples actually meant because once they are digitized this ...

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Circular Convolution of Length L of Sequences of Length Greater Than L
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1 votes

So far I haven't found a way to compute the circular convolution (of size N for sequences greater than N) that doesn't involve applying linear convolution + aliasing. Which is my original question ...

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Detection of similar segments of two signal
1 votes

You could use correlation between the two signals or a matched filter in which you set the filter coefficients as the samples from the selected segment inverted in time. In matlab it would be ...

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Oversampled Binary Image Sensor vs Active Pixel Sensor(CMOS)
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1 votes

The success of your camera depends on too many factors! and they're out of the scope of this page. If the dynamic range requirements of your application are not too demanding then you could take ...

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PC-to-PC data communication over Sound FSK / PSK / DSSS
1 votes

Yes you should definitely use FSK but it has to asynchronical and here is why. Demodulating FSK synchronically is called coherent demodulation. Demodulating FSK coherently requires incoming carrier ...

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FFT - radix 2 - decimation in time -frequency range
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0 votes

If you studied the materials I recommended you on comments to your previous question. You would notice that FFT algorithm takes advantage of certain symmetries to make computations faster. If you don'...

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Interpolation and decimation
0 votes

Assuming we are working with an ideal cosine that has a frequency response that is a perfect delta, then if the original signal is at $18 kHz$ and it is sampled at $27kHz$ then there will be aliasing (...

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FFT - second and further divides and conquers - need help
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0 votes

This is the place where I learned what you are asking: MIT Opencourseware 6.008 Digital Signal Processing . See lecture 18. And if you have the chance also see lectures 19 and 20. You are trying to ...

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Mystery signal - FSK, BPSK?
0 votes

I'm getting exactly the same information you are. Would it be possible for you to acquire more symbols? It might be possible that not all frequencies are present in the time sample you captured. ...

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Extracting the talking (lyrics) from an audio in python
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0 votes

What you are trying to do might be extremely difficult depending on numerous factors. I have read about a technology called blind source de-convolution which tries to separate one audio source from ...

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